Unified Merchandise Sales Intelligence through Snowflake for a Global Entertainment Company

Data Analytics Factspan
Executive Summary

A multinational mass media and entertainment conglomerate tackled the challenge of scattered sales data across diverse data centers by initiating a strategic project.

The objective was to consolidate historical records since 2010 and ongoing sales data into a unified Global Data Lake.

Leveraging a Snowflake DB-based ETL pipeline, the project aimed to enhance data accessibility for analytics. This comprehensive solution not only addressed existing challenges but also laid the groundwork for a scalable, efficient, and future-ready tech infrastructure.

Successfully completing this initiative met the immediate need for a centralized data repository and positioned the company for expanded analytics capabilities.

About the Client

A prominent entertainment conglomerate, the client offers a diverse range of entertainment merchandise, interactive gaming experiences, and captivating literary works. Their overarching mission revolves around elevating the resonance of the esteemed company’s cherished characters and narratives, meticulously transforming them into tangible and engaging realities. Its innovative endeavors serve as a conduit for the company’s ethos and creativity, profoundly impacting its audience.

Business Challenge

The client faced disruptions due to scattered sales data across various on-cloud and on-premise data centers. It hindered the business intelligence team’s ability to generate comprehensive reports and glean meaningful insights.

The complexities of managing data across multiple centers also created impediments to achieving a holistic understanding of sales performance. The need for a centralized data repository became evident to overcome these challenges, providing a seamless and unified source for historical and ongoing sales data, essential for informed decision-making and strategic planning.

Our Solution

The company strategically addressed the challenge of scattered sales data across diverse data centers by initiating a transformative project.

Focused on consolidating historical records since 2010 and ongoing sales data into a unified data bank, the solution leveraged a Snowflake DB-based ETL pipeline, incorporating AWS, GCP, UC4, SODA, SQL, and GitHub.

This comprehensive approach not only tackled existing complexities but also laid the foundation for a scalable, efficient, and future-ready tech infrastructure. The successful completion of this initiative ensures a centralized repository for historical and ongoing sales data, promoting accessibility for analytics.

The integration of these tools also facilitated the creation of the Global Data Lake. ETL pipelines were instrumental in accumulating sales data from diverse sources, establishing a robust foundation for analytics. The validation framework that was implemented ensures data integrity.

Additionally, the Strategic Options Development and Analysis (SODA) framework has automated critical checks for data freshness and duplicates, triggered by Automic UC4 in Snowflake.

This system for data quality assurance provides a comprehensive overview through the SODA Cloud UI dashboard, complemented by efficient notifications via Slack and email. The success of this initiative has not only met immediate requirements but also positioned the company for expanded analytics capabilities, ensuring reduced tech debt and increased adaptability for future modifications or additions.

Business Impact
  • Achieved 25% increase in sales visibility
  • Realized 30% reduction in data anomalies
  • Attained 20% decrease in technical debt
  • Established enhanced scalability for growth
  • Unlocked potential for 50% expanded analytics scope
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